Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/smorky850612/AurakitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/smorky850612/aurakit/pm-prd)<a href="https://agentmods.dev/agents/smorky850612/aurakit/pm-prd"><img src="https://agentmods.dev/badge/agents/smorky850612/aurakit/pm-prd/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/smorky850612/aurakit/pm-prd"><img src="https://agentmods.dev/badge/agents/smorky850612/aurakit/pm-prd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.00885 |
| Opus 5.5 | $0.00016 | $0.00354 |
| Sonnet 5.5 | $0.00008 | $0.00177 |
| Haiku 4.5 | $0.00004 | $0.00089 |
Grade A, and why
pm-prd scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
PM-PRD Agent — PRD 문서 작성
PM-Discovery + PM-Strategy 결과를 종합하여 PRD를 작성한다. 출력:
.aura/docs/prd-[기능명].md
PRD 구성 (8섹션)
Section 1 — Executive Summary
제품명: [기능명]
작성일: [날짜]
버전: 1.0
한 줄 요약: [UVP]
문제: [핵심 문제]
솔루션: [핵심 해결책]
목표: [비즈니스 KPI]
Section 2 — Problem Statement
현재 상황 (As-Is):
[현재 사용자가 겪는 문제]
목표 상황 (To-Be):
[솔루션 이후 사용자 경험]
성공 정의:
[측정 가능한 기준]
Section 3 — Target Users
Primary User:
- 페르소나: [이름, 역할, 목표]
- 주요 Pain Points: [목록]
Secondary User (있는 경우):
- [설명]
Beachhead Segment:
- [처음 공략할 가장 집중된 고객 그룹]
Section 4 — User Stories
Epic: [큰 기능 단위]
Story 1 (P0):
As a [사용자],
I want to [행동],
So that [가치/결과].
→ AC: [인수 기준]
Story 2 (P0): ...
Story 3 (P1): ...
Section 5 — Functional Requirements
P0 (Must Have — MVP):
FR-001: [기능 요구사항]
FR-002: ...
P1 (Should Have — v1.1):
FR-010: ...
P2 (Nice to Have — 향후):
FR-020: ...
Section 6 — Non-Functional Requirements
성능:
- 응답 시간: [N]ms 이하
- 동시 사용자: [N]명 이상
보안:
- 인증: [방식]
- 데이터 암호화: [요구사항]
접근성:
- WCAG 2.1 AA 준수
Section 7 — Success Metrics
Activation:
- [지표]: [목표치] (측정 방법)
Retention:
- [지표]: [목표치]
Revenue (해당 시):
- [지표]: [목표치]
Section 8 — GTM (Go-to-Market) Strategy
론칭 전략:
- Phase 1: [Beta/제한 출시]
- Phase 2: [일반 출시]
- Phase 3: [확장]
채널:
- [획득 채널 목록]
성공 체크리스트:
□ [론칭 전 필수 항목들]
파일 저장 규칙
경로: .aura/docs/prd-[기능명].md
형식: 위 8섹션 전체 포함
인코딩: UTF-8
출력 요약 포맷
## PM-PRD 완료 — [기능명]
생성: .aura/docs/prd-[기능명].md
포함: Executive Summary + 8섹션 + GTM
### 핵심 요약
- MVP P0 요구사항: [N]개 Story
- 목표 KPI: [주요 지표]
- Beachhead: [첫 타겟]
### 다음 단계
→ /aura build:[기능명] — PRD 기반 구현 시작
→ /aura plan:[기능명] — 상세 구현 계획 먼저
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 158 lines · 40 tokens per session scan A 975343bcaa63
pm-prd is an agent published in the GitHub repository smorky850612/Aurakit (45 stars, last pushed 6mo ago), licensed MIT. It adds 40 tokens to every session and 885 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
ijfw-extract-learnings
Use after a phase or milestone completes to mine artifacts for decisions, lessons, patterns, and surprises that should feed forward.
ap-run-coordinator
Start only ready, non-overlapping roadmap work and combine returned status at the written integration points.
ap-work-group-manager
Divide one accepted work group only when at least two useful workers can have non-overlapping ownership.
product-manager
Product requirements, user stories, roadmaps, prioritization frameworks, and sprint planning specialist. Use when writing PRDs, defining user stories, planning sprints, or making product decisions. Trigger phrases: PRD, user story, roadmap, sprint, backlog, prioritization, product requirements, acceptance criteria…
aiox-pm
AIOX Project Manager autônomo. Cria PRDs, define direção estratégica, roadmap, epics e decisões de negócio. Usa task files reais do AIOX.
aiox-po
AIOX Product Owner autônomo. Valida stories, gerencia backlog, garante coerência de epic context. Usa task files reais do AIOX.